https://www.researchgate.net/profile/Yaman_Akbulut | Akla mağrûr olma Eflâtûn-ı vakt olsan eğer | Bir edîb-i kâmili gördükde tıfl-ı mekteb ol | Nef’î

Verdiği Dersler

Kitaplar

Şengür, A., Budak, Ü., Akbulut, Y., Karabatak, M., Tanyıldızı, E., , Neutrosophic Set in Medical Image Analysis, Elsevier Academic Press, 2019, 370, 9780128181485.

Akbal, A., Akbulut, Y., Balıkçı, K., Daş, R., Ertam, F., Tekin, A., , Temel Bilgi Teknolojisi Kullanımı, NOBEL YAYINLARI, 2005, , 975-6305-09-06.

Akbal, A., Akbulut, Y., Balıkçı, K., Daş, R., Ertam, F., Tekin, A., , Temel Bilgisayar Teknolojileri Kullanımı, FIRAT ÜNİVERSİTESİ BASIMEVİ, 2003, , 975-394-028-9.

Akbal, A., Tekin, A., Akbulut, Y., Ertam, F., , C ile Programlamaya Giriş, FIRAT ÜNİVERSİTESİ BASIMEVİ, 2003, 132, 975-394-029-7.

Makaleler

Uluslararası

Cömert, Z., Şengür, A., Akbulut, Y., Budak, Ü., Kocamaz, A.F., Bajaj, V., (2020). Efficient approach for digitization of the cardiotocography signals. Physica A: Statistical Mechanics and its Applications, 537(),122725-.
Budak, Ü., Bajaj, V., Akbulut, Y., Şengür, A., Atila, O., (2019). An Effective Hybrid Model for EEG-Based Drowsiness Detection1. IEEE SENSORS JOURNAL, 19(17),7624-7631.
Cömert, Z., Şengür, A., Akbulut, Y., Budak, Ü., Kocamaz, A.F., Güngör, S., (2019). A Simple and Effective Approach for Digitization of the CTG Signals from CTG Traces. IRBM, 40(5),286-296.
Selimefendigil, F., Akbulut, Y., Şengür, A., Öztop, H.F., (2019). MHD conjugate natural convection in a porous cavity involving a curved conductive partition and estimations by using Long Short-Term Memory Networks. Journal of Thermal Analysis and Calorimetry, (),-.
Budak, Ü., Şengür, A., Guo, Y., Akbulut, Y., (2017). A novel microaneurysms detection approach based on convolutional neural networks with reinforcement sample learning algorithm. Health Information Science and Systems, 5(1),-.
Şengür, A., Budak, Ü., Akbulut, Y., (2018). CLASSIFICATION OF AMYOTROPHIC LATERAL SCLEROSIS AND HEALTHY ELECTROMYOGRAPHY SIGNALS BASED ON TRANSFER LEARNING. European Journal of Technic, 8(2),179-185.
Akbulut, Y., Guo, Y., Şengür, A., Aslan, M., (2018). An effective color texture image segmentation algorithm based on hermite transform. Applied Soft Computing, 67(),494-504.
Akbulut, Y., Şengür, A., Guo, Y., Smarandache, F., (2017). NS-k-NN: Neutrosophic Set-Based k-Nearest Neighbors Classifier. Symmetry, 9(9),179-.
Akbulut, Y., Şengür, A., Guo, Y., Smarandache, F., (2017). A Novel Neutrosophic Weighted Extreme Learning Machine for Imbalanced Data Set. Symmetry, 9(8),142-.
Akbulut, Y., Şengür, A., Guo, Y., Smarandache, F., (2017). An Efficient Image Segmentation Algorithm Using Neutrosophic Graph Cut. Symmetry, 9(9),185-.
Guo, Y., Şengür, A., Akbulut, Y., Shipley, A., (2018). An effective color image segmentation approach using neutrosophic adaptive mean shift clustering. MEASUREMENT, 119(),28-40.
Akbulut, Y., Şengür, A., Guo, Y., Polat, K., (2017). KNCM: Kernel Neutrosophic c-Means Clustering. Applied Soft Computing, 52(),714-724.
Şengür, A., Akbulut, Y., Guo, Y., Bajaj, V., (2017). Classification of amyotrophic lateral sclerosis disease based on convolutional neural network and reinforcement sample learning algorithm. Health Information Science and Systems, 5(1),-.
Aslan, m., Akbulut, Y., Şengür, A., Ince, M.C., (2017). Eklem Tabanlı Etkili Düşme Tespiti. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, (),-.
Şengür, A., Guo, Y., Akbulut, Y., (2016). Time frequency texture descriptors of EEG signals for efficient detection of epileptic seizure. Brain Informatics, 3(2),101-108.

Bildiriler

Uluslararası

Gülbaş, B., Şengür, A., Incel, E., Akbulut, Y., (2019). Deep Features and Extreme Learning Machines based Apparel Classification. 2019 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
Şengür, A., Akbulut, Y., Budak, Ü., (2019). Food Image Classification with Deep Features. 2019 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
Şengür, A., Akbulut, Y., Budak, Ü., Cömert, Z., (2019). White Blood Cell Classification Based on Shape and Deep Features. 2019 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
Şengür, A., Akhtar, Z., Akbulut, Y., Ekici, S., Budak, Ü., (2018). Deep Feature Extraction for Face Liveness Detection. 2018 International Conference on Artificial Intelligence and Data Processing (IDAP), (),-.
Budak, Ü., Şengür, A., Akbulut, Y., (2017). Localization of macular edema region from color retinal images for detection of diabetic retinopathy. 2017 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
Budak, Ü., Şengür, A., Guo, Y., Akbulut, Y., Vespa, L.J., (2017). A novel approach based on image processing algorithms for microaneurysm candidate detection. 2017 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
Budak, Ü., Akbulut, Y., Şengür, A., (2018). DİYABETİK RETİNOPATİ TESPİTİ İÇİN GRAFİKSEL KULLANICI ARAYÜZÜ TABANLI SANAL ANJİYOGRAFİ SİSTEMİ. International Engineering and Natural Sciences Conference (IENSC 2018), (),1584-1591.
Akbulut, Y., Şengür, A., Budak, Ü., Ekici, S., (2017). Deep learning based face liveness detection in videos. 2017 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
Ekici, S., Ünal, F., Akbulut, Y., Şengür, A., (2018). Electricity Consumption Analysis with Matlab Tall Arrays. 1st INTERNATIONALENGINEERING ANDTECHNOLOGY SYMPOSIUM, (),7-11.
Şengür, A., Gedikpınar, M., Akbulut, Y., Deniz, E., Bajaj, V., (2017). DeepEMGNet: An Application for Efficient Discrimination of ALS and Normal EMG Signals. Mechatronics 2017: International Conference Mechatronics, (),619-625.
Şengür, A., Ekici, S., Akbulut, Y., Kavas, T., (2017). TIME FREQUENCY GRAY LEVEL CO-OCCURRENCE MATRIX DESCRIPTORS FOR DECEPTION DETECTION. International Conference on AdvancedTechnology Sciences ICAT 17, (),665-668.
Şengür, A., Ekici, S., Akbulut, Y., Alçin, Ö.F., Kavas, T., (2017). Speech based Gender Classification with 1D Local Binary Patterns. International Conference on Advances and Innovations in Engineering (ICAIE), (),214-217.
Ekici, S., Kavas, T., Akbulut, Y., Şengür, A., (2017). Deception Detection From Speech Signals. International Conference on Advances and Innovations in Engineering (ICAIE), (),1016-1021.
Ismael, A., Şengür, A., Akbulut, Y., (2017). LOCAL RECEPTIVE FIELDS BASED EXTREME LEARNING MACHINE FOR FACE RECOGNITION. IATS 2017, (),-.
Ekici, S., Akbulut, Y., Şengür, A., (2017). AUTOMATIC GENDER IDENTIFICATION FROM SPEECH SIGNALS. IATS 2017, (),-.
Akbulut, Y., Şengür, A., Ekici, S., (2017). Gender recognition from face images with deep learning. 2017 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
Akbulut, Y., Şengür, A., (2016). Hermite Dönüşümü Kullanarak Doku Bölütleme. International Artificial Intelligence and Data Processing Symposium’16 (IDAP’16), (),342-346.
Akbulut, Y., Şengür, A., Guo, Y., (2016). Texture Segmentation Based on Gabor Filters and Neutrosophic Graph Cut. 3rd International Conference on Advanced Technology &Sciences (ICAT’16), (),336-339.
Akbulut, Y., Aslan, M., Şengür, A., Ince, M.C., (2016). Kinect Tabanlı İskelet Verileri ile Düşme Tespiti. International Conference on Natural Science and Engineering (ICNASE’16), (),131-139.

Ulusal

Akbulut, Y., Yalçın, H., Şengür, A., (). Zamansal Hiyerarşik Ortalama Tanımlayıcı Kullanarak İskelet Tabanlı Eylem Tanıma. 2. Türkiye Robotbilim Konferansı (ToRK), (),-.
Akbulut, Y., Uçar, A., Demir, Y., (2002). BULANIK KURALLARI ÇIKARMAK İÇİN RADYAL TABANLI FONKSİYONLAR AĞININ OPTİMAL DİZAYNI ve METODUN MOTOR HATA BULMA ve TANISI İÇİN UYGULAMASI. ELECO`2002 ELEKTRİK ELEKTRONİK BİLGİSAYAR MÜHENDİSLİĞİ SEMPOZYUMU, (),-.
Yeloğlu, Z., Akbulut, Y., Budak, Ü., Şengür, A., (2015). Hand gesture recognition from kinect depth images. 2015 23nd Signal Processing and Communications Applications Conference (SIU), (),628-631.